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Chainguard's new service leverages frontier AI models like Claude Mythos 5.1 to perform dynamic vulnerability hunting, addressing logic flaws that static scanners miss by simulating attacker behavior in isolated environments. This approach also introduces specific tools to secure AI coding agents and expands open-source dependency management for Go and .NET developers. The integration represents a significant shift toward using advanced LLMs for practical defensive security within the software supply chain.

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Chainguard puts Claude Mythos on flaw hunting, secures coding agents and widens Libraries

SiliconANGLEOctober 14, 20266 min read

Secure software supply chain solution provider Chainguard Inc. today unveiled a vulnerability-hunting service that uses frontier artificial intelligence models such as Anthropic PBC’s Claude Mythos 5.1, as well as two products for securing AI coding agents and an expansion of Chainguard Libraries. All four arrived at the company’s Assemble London conference today. Vulnerability hunting falls to Chainguard Harness, which reports only the flaws it can reproduce against a live build of a customer’s application. Developers and their agents get a hardened, credential-free cloud environment from Chainguard Workspaces. Because that work still has to be tested, Chainguard paired Workspaces with Chainguard Checks, which runs continuous integration tests on the code before…

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